Transmitting high-bandwidth raw sensor data to the cloud for machine learning inference consumes unsustainable cellular bandwidth and introduces latency. TinyML (Tiny Machine Learning) empowers 32-bit ARM Cortex-M microcontrollers to perform real-time neural network inference locally within strict memory envelopes under 128 KB of RAM.